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Funded Projects for Artificial Intelligence, Machine Learning, and Deep Learning

Grant Number Project Title Principal Investigator Institution
5-R01-EB034692-02 Deep Learning Methods for Improving Gallium 68-Based PET Imaging Kuang Gong University of Florida
5-R01-EB031806-04 Deep Learning Reconstruction for Improved TOF PET Using Histo-Image Partitioning Samuel Matej University of Pennsylvania
5-R21-EB031185-03 Deep Learning Reconstruction for Rapid Multi-Component Relaxometry Fang Liu Massachusetts General Hospital
5-R01-EB034249-03 Deep learning technologies for estimating the optimal task performance of medical imaging systems Mark Anastasio University of Illinois at Urbana-Champaign
5-R21-EB032597-03 Deep Learning To Automate Late Mechanical Activation Detection From Cardiac Magnetic Resonance Images Miaomiao Zhang University of Virginia
5-R01-EB035186-02 DeepTOBIDx: deep learning-enhanced multimodal diagnostic breast imaging Bin Deng Massachusetts General Hospital
1-R21-EB036619-01A1 Developing Imaging and Analysis Tools for Lymphoscintigraphy in Lymphedema Jaewon Yang Ut Southwestern Medical Center
1-R01-EB036082-01A1 Development and clinical validation of domain-aware anthropomorphic model observers for task-based image quality assessment Jovan Brankov Illinois Institute of Technology
1-R21-EB037806-01 Development and validation of diffusion-model enabled computational observers for clinical diagnostic task performance evaluation of deep learning CT algorithms Jingyan Xu Johns Hopkins University
5-R01-EB030130-04 Development of Software to Rapidly Assess Placenta Images at Birth Alison Gernand Pennsylvania State University, The